Why Attend

Data has gravity.

It is well known that the network edge, in the Internet of Things, is where the critical mass of digital data resides, and where it is collected. Scalability bottlenecks to ubiquitous AI, such as power consumption, bandwidth, latency, connectivity and security have led to recent innovations in on-device processing and edge infrastructure such as micro-data centers and distributed computing architecture.

The Edge Computing market will reach $34 billion by 2023, growing at 35% annually, unleashing a wave of services and applications at the network edge that can be optimized with artificial intelligence. As a recent explosion in hardware innovation provides the necessary compute to migrate diverse AI workloads to the Edge, a new generation of edge-native and edge-enhanced software applications is emerging.

The Edge AI Summit will bring together 200+ key thought-leaders and industrial practitioners to discuss the challenges and opportunities of decentralized, distributed intelligence. Join us to examine use cases of edge-based artificial intelligence applications and explore this new computing paradigm that promises to accelerate and democratize AI adoption across the globe.

This event is intended for Senior Director/VP-level attendees and above, and is a high-level networking and business development meeting, with content tracks focusing on both business and technology.

Rahul Vijay

Helenio Gilabert

Helenio Gilabert

Jemsheer Thayyullathil

Chief Engineer

Viking Range

Jemsheer Thayyullathil

Chief Engineer

Viking Range

Modar Alaoui

Founder & CEO

Eyeris

Modar Alaoui

Founder & CEO

Eyeris

Maria Karaivanova

Principal

Madrona Venture

Maria joined Madrona in early 2017. As part of the investment team, Maria is focused on sourcing and evaluating new investment opportunities, working with portfolio companies to explore and evaluate business strategies and developing investment themes for the firm. She is particularly interested in founders doing new things in the enterprise software, cloud security, IOT, and infrastructure arena. She serves on the board of Madrona companies including Pulse Labs and Rigado.

Maria Karaivanova

Principal

Madrona Venture

Maria joined Madrona in early 2017. As part of the investment team, Maria is focused on sourcing and evaluating new investment opportunities, working with portfolio companies to explore and evaluate business strategies and developing investment themes for the firm. She is particularly interested in founders doing new things in the enterprise software, cloud security, IOT, and infrastructure arena. She serves on the board of Madrona companies including Pulse Labs and Rigado.

Maria has nearly a decade of deep technology experience, garnered through roles at some of the world’s leading technology companies, including Cloudflare, Intel and Boeing. Maria joined Madrona from the executive team member at Cloudflare, a San Francisco – based web performance and security company, where she led business development and helped build the company from 25 employees to unicorn status.

While at Cloudflare, Maria built a global ecosystem of over five thousand partners and launched strategic partnerships with Google, Rackspace and other leading cloud platforms, delivering significant revenue and distribution. Prior to Cloudflare, Maria was an investor at Intel Capital with a focus on enterprise technologies and cloud security. She was also part of the Intel-McAfee strategic engagement team helping integrate security into firmware. Before that, Maria held various positions at Boeing specializing in intellectual property management and international business development for the Chinook, Apache and F-15 programs, and unmanned aircraft. She started her career as an analyst at Citibank. Maria has an MBA from Harvard Business School and a BSBA in Finance with high honors from Saint Louis University.

Yves Boudreau

VP, Partnerships & Ecosystem Strategy

Ericsson

Yves Boudreau

VP, Partnerships & Ecosystem Strategy

Ericsson

Darren Liccardo

Co-Founder & Managing Director

Catapult Ventures

Darren Liccardo

Co-Founder & Managing Director

Catapult Ventures

Rashmi Gopinath

Partner

M12 (Microsoft Ventures)

Rashmi Gopinath

Partner

M12 (Microsoft Ventures)

Mike Henry

Co-Founder & CEO

Mythic

Mike Henry

Co-Founder & CEO

Mythic

Robert High

Fellow, VP & CTO Watson

IBM

Robert High

Fellow, VP & CTO Watson

IBM

Matt Trifiro

CMO

Vapor

Matt Trifiro

CMO

Vapor

Ali Farhadi

Co-Founder & CEO

XNOR

Ali Farhadi

Co-Founder & CEO

XNOR

Mohammad Rastegari

CTO, Xnor.AI & Research Scientist, Allen Institute for AI

Mohammad Rastegari

CTO, Xnor.AI & Research Scientist, Allen Institute for AI

Gary Brown

VP, Marketing

Intel Movidius

Gary Brown

VP, Marketing

Intel Movidius

Ian Chen

Product Marketing Director

BITMAIN

Ian Chen

Product Marketing Director

BITMAIN

Val Cook

Chief Software Architect

ThinCI

Val Cook

Chief Software Architect

ThinCI

Peter Vajda

Research & Engineering Manager

Peter Vajda

Research & Engineering Manager

Richard Newcombe

Director, Research Science

Oculus VR (Facebook Reality Labs)

Richard Newcombe

Director, Research Science

Oculus VR (Facebook Reality Labs)

Cheng Wang

Co-Founder & SVP, Architecture & Engineering

Flex Logix

CHENG WANG. Senior VP Engineering: Architecture, Software, Silicon. Originally from Shanghai, PRC. BSEECS, UC Berkeley. Cheng has led the architecture, silicon implementation and software development for eFPGA over two generations from 180nm-16nm and now neural inferencing. Two years as VLSI designer at Zoran. MSEE, EE PhD UCLA: designed 5 FPGA chips from 90nm to 40nm. 2013 Distinguished PhD Dissertation Award. 2014 ISSCC Lewis Winner Award for Outstanding Paper. Multiple patents at UCLA and Flex Logix.

Cheng Wang

CHENG WANG. Senior VP Engineering: Architecture, Software, Silicon. Originally from Shanghai, PRC. BSEECS, UC Berkeley. Cheng has led the architecture, silicon implementation and software development for eFPGA over two generations from 180nm-16nm and now neural inferencing. Two years as VLSI designer at Zoran. MSEE, EE PhD UCLA: designed 5 FPGA chips from 90nm to 40nm. 2013 Distinguished PhD Dissertation Award. 2014 ISSCC Lewis Winner Award for Outstanding Paper. Multiple patents at UCLA and Flex Logix.

Flex Logix’s NMAX platform excels at getting high hardware utilization at batch=1, which is critical for edge applications. Most of the new information is in the 2nd half of the slide deck.

NMAX delivers from 1 to 100+TOPS, as you need, at 10x lower cost and 3-5x lower power than existing solutions because we get 50-80% MAC utilization on tough models, meaning we need less silicon area, and we achieve it with 10x less DRAM bandwidth, meaning less DRAM cost and system power.

James Allworth

Headline Partner

Intel

Gold Partner

Flex Logix

Flex Logix’ NMAX inferencing accelerators provide very high throughput and hardware utilization even at batch size = 1, with low system cost and system power.

NMAX MAC utilization is over 50% even at batch size = 1. For most inferencing engines utilization drops dramatically from batch 10 to batch 1 because they stall loading weights. High MAC utilization means less silicon area needed for the same throughput.

NMAX uses proprietary Flex Logix interconnect technology to utilize local, distributed SRAM very efficiently generating very high local bandwidth and dropping DRAM bandwidth requires to that of 1 or 2 LPDDR4 DRAMs, even for YOLOv3 at 30 frames/second. This lowers power and lowers cost.

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Venue

CA, USA

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Conference Packages

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